Exposure and illness among workers filing for COVID-19 related workers' compensation -- California, 2020.

OBJECTIVES: To characterize the incidence of SARS-CoV-2 exposure and COVID-19 infection among California workers' compensation claims in 2020 and examine risk factors for exposure. METHODS: Using a case-control approach, we combined machine learning techniques and job exposure matrices to assess associations between exposures and illness claims and clusters of claims within specific worksites over a 3-week period. RESULTS: Of the 117,125 COVID-19 claims, most were primarily among younger groups, of shorter tenure, and from healthcare occupations. Illness claims were among older groups with longer tenure. Jobs with very close physical proximity and high physical activity, along with transportation and warehousing industries, were associated with being part of a cluster of claims. CONCLUSIONS: The findings merit further study but indicate respiratory viral transmission and support efforts to systematically incorporate work-related variables into other California data sources.

Satisfaction with diabetes involvement: Exploring parent and adolescent perspectives.

AIMS: Both parent and adolescent involvement in type 1 diabetes management are critical during adolescence. The current study sought to understand the factors associated with parent and adolescent satisfaction with their own and one another's involvement in diabetes management. METHODS: Cross-sectional baseline data from 157 parent-adolescent dyads enrolled in an RCT were used. Adolescent ages ranged from 12 to 19 (Mage = 14.7, SD = 1.89) and were balanced by gender (50.3% male). Paired t-tests examined concordance between parent and adolescent satisfaction, bivariate correlations identified correlates, and regressions examined unique associations. RESULTS: Roughly, 43% of adolescents and 29% of parents were very satisfied with adolescent involvement in diabetes management, whereas 71% of adolescents and 26.1% of parents were very satisfied with parent involvement. Indicators of better glycaemic health (via higher percent time-in-range and lower HbA1c and percent time in hyperglycaemia) and psychosocial functioning (less diabetes distress and depression) were correlated with higher satisfaction. Parent satisfaction with adolescent involvement was higher among older adolescents (R = 0.198, p = 0.013). Non-Hispanic white youth were more satisfied with their own involvement than youth of colour (t(149) = -2.783, p = 0.003). Both percent time-in-range and one's own diabetes distress uniquely related to parent and adolescent satisfaction with adolescent involvement. Conversely, parent satisfaction with their own involvement was only uniquely associated with parent diabetes distress. CONCLUSION: Both adolescent and parents' satisfaction with adolescents' involvement in self-management are indicators of both glycaemic control and psychosocial well-being, whereas parents' self-evaluations are more closely tied to diabetes-specific distress.

Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review.

BACKGROUND: The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care. METHODS: Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years). RESULTS: We find that novel technologies, ranging from continuous glucose monitoring systems, insulin pumps and decision support tools to the most advanced hybrid closed loop systems, improve important measures like HbA1c, time in range, and glycemic variability, while reducing hypoglycemia risk. Several studies included person-reported outcomes, allowing assessment of the burden or benefit of the technology in the lives of those with type 1 diabetes, demonstrating positive results or, at a minimum, no increase in self-care burden compared with standard care. Important limitations of the trials to date are their small size, the scarcity of pre-planned or powered analyses in sub-populations such as children, racial/ethnic minorities, people with advanced complications, and variations in baseline glycemic levels. In addition, confounders including education with device initiation, concomitant behavioral modifications, and frequent contact with the healthcare team are rarely described in enough detail to assess their impact. CONCLUSIONS: Our review highlights the potential of technology in the treatment of people living with type 1 diabetes and provides suggestions for optimization of outcomes and areas of further study for precision medicine-directed technology use in type 1 diabetes.

In the last decade, there have been significant advances in how technology is used in the treatment of people living with type 1 diabetes. These technologies primarily aim to help manage blood sugar levels. Here, we reviewed research published over the last decade to evaluate the impact of such technologies on type 1 diabetes treatment. We find that various types of novel technologies, such as devices to monitor blood sugar levels continuously or deliver insulin, improve important diabetes-related measures and can reduce the risk of having low blood sugar levels. Importantly, several studies showed a positive impact of technologies on quality of life in people living with diabetes. Our findings highlight the benefits of novel technologies in the treatment of type 1 diabetes and identify areas for further research to optimize and personalize diabetes care.

Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine.

Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.

Temporal assessment of disparities in California COVID-19 mortality by industry: a population-based retrospective cohort study.

PURPOSE: To assess changes in the COVID-19 mortality rate and disparities over variants or waves by industry. METHODS: We identified COVID-19 deaths that occurred between January 2020 and May 2022 among California workers aged 18-64 years using death certificates, and estimated Californians at risk using the Current Population Survey. The waves in deaths were wave 1: March-June 2020, wave 2: July-November 2020, wave 3/Epsilon and Alpha variants: December 2020-May 2021, wave 4/Delta variant: June 2021-January 2022, and wave 5/Omicron variant: February-May 2022. We used Poisson regression to generate wave-specific mortality rate ratios (MRR) and included an interaction term between industry and wave in different models to assess significance of the change in MRR. RESULTS: In all waves of the pandemic, healthcare, other services, manufacturing, transportation, and retail trade industries had higher mortality rates than the professional, scientific, and technical industry. The healthcare industry had the highest relative rate earlier in the pandemic, while other services, utilities, and accommodation and food services industries had substantial increases in MRR in later waves. CONCLUSIONS: Industries that consistently had disproportionate COVID-19 mortality may have benefitted from protections that consider workers' increased exposure and vulnerability to severe outcomes.

Expanding the use of patient-reported outcomes (PROs): Screening youth with type 1 diabetes from underrepresented populations.

AIM: Youth from lower socioeconomic status (SES) have suboptimal type 1 diabetes (T1D) outcomes. Patient reported outcomes (PROs) measure psychosocial states and are associated with T1D outcomes, however are understudied in low SES youth. We aimed to evaluate associations between PROs and public insurance status, a proxy for low SES. METHODS: We analyzed survey data from 129 youth with T1D (age 15.7 ± 2.3 years, 33 % publicly insured) screened with PROMIS Global Health (PGH, measuring global health) and Patient Health Questionnaire (PHQ-9, measuring depressive symptoms) during diabetes appointments. Correlation and regression analyses evaluated differences in PGH and PHQ-9 by insurance status. RESULTS: For youth with public insurance, lower global health correlated with lower self-monitoring blood glucose (SMBG; r = 0.38,p = 0.033) and older age (r = -0.45,p = 0.005). In youth with private insurance, lower global health correlated with lower SMBG (r = 0.27,p = 0.018) and female sex (rho = 0.26,p = 0.015). For youth with private insurance, higher depressive symptoms correlated with higher body mass index (r = 0.22,p = 0.03) and fewer SMBG (r = -0.35,p = 0.04). In multivariate regression analyses, public insurance was inversely associated with global health (p = 0.027). CONCLUSION: PGH is a particularly salient PRO in youth with public insurance. Global health may be an important psychosocial factor to assess in youth with T1D from low SES backgrounds.

Excess risk of SARS-CoV-2 infection among in-person nonhealthcare workers in six states, September 2020-June 2021.

BACKGROUND: While the occupational risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection for healthcare personnel in the United States has been relatively well characterized, less information is available on the occupational risk for workers employed in other settings. Even fewer studies have attempted to compare risks across occupations and industries. Using differential proportionate distribution as an approximation, we evaluated excess risk of SARS-CoV-2 infection by occupation and industry among non-healthcare workers in six states. METHODS: We analyzed data on occupation and industry of employment from a six-state callback survey of adult non-healthcare workers with confirmed SARS-CoV-2 infection and population-based reference data on employment patterns, adjusted for the effect of telework, from the U.S. Bureau of Labor Statistics. We estimated the differential proportionate distribution of SARS-CoV-2 infection by occupation and industry using the proportionate morbidity ratio (PMR). RESULTS: Among a sample of 1111 workers with confirmed SARS-CoV-2 infection, significantly higher-than-expected proportions of workers were employed in service occupations (PMR 1.3, 99% confidence interval [CI] 1.1-1.5) and in the transportation and utilities (PMR 1.4, 99% CI 1.1-1.8) and leisure and hospitality industries (PMR 1.5, 99% CI 1.2-1.9). CONCLUSIONS: We found evidence of significant differences in the proportionate distribution of SARS-CoV-2 infection by occupation and industry among respondents in a multistate, population-based survey, highlighting the excess risk of SARS-CoV-2 infection borne by some worker populations, particularly those whose jobs require frequent or prolonged close contact with other people.

DiabetesWise: An innovative approach to promoting diabetes device awareness.

BACKGROUND: DiabetesWise is an unbranded, data-driven online resource that tailors device recommendations based on preferences and priorities of people with insulin-requiring diabetes. The objective of this study is to examine whether DiabetesWise increases uptake of diabetes devices, which are empirically supported to improve glycemic and psychosocial outcomes. METHODS: The sample included 458 participants (Mage = 37.1, SD = 9.73; 66% female; 81% type 1 diabetes) with insulin-requiring diabetes and minimal diabetes device use at enrollment. Participants used DiabetesWise and completed online surveys. Chi-square and t tests evaluated requests for a device prescription, receiving a prescription, and starting a new device at 1 and 3 months post use. Baseline predictors of these variables and past use of continuous glucose monitors (CGMs) and changes in diabetes distress post use were also examined. RESULTS: Within the first month of interacting with DiabetesWise 19% of participants asked for a prescription for a diabetes device. This rate rose to 31% in the first 3 months. These requests resulted in 16% of the sample starting a new device within the first 3 months. Whereas several factors were associated with prior CGM use, receiving a prescription, and starting a new device, more diabetes distress (t(343) = -3.13, p = .002) was the only factor associated with asking for a prescription. Diabetes distress decreased after interacting with DiabetesWise within 1 month (t(193) = 3.51, p < .001) and 3 months (t(180) = 5.23, p < .001). CONCLUSIONS: Within 3 months of interacting with DiabetesWise, one in three participants had requested a prescription for a new diabetes device and average distress levels were reduced, indicating benefit from this low-intensity online platform.

Insights from a Bibliometrics-Based Analysis of Publishing and Research Trends on Cerium Oxide from 1990 to 2020.

The purpose of this study is to evaluate the literature for research trends on cerium oxide from 1990 to 2020 and identify gaps in knowledge in the emerging application(s) of CeONP. Bibliometric methods were used to identify themes in database searches from PubMed, Scopus and Web of Science Core Collection using SWIFT-Review, VOSviewer and SciMAT software programs. A systematic review was completed on published cerium oxide literature extracted from the Scopus database (n = 17,115), identifying themes relevant to its industrial, environmental and biomedical applications. A total of 172 publications were included in the systematic analysis and categorized into four time periods with research themes identified; "doping additives" (n = 5, 1990-1997), "catalysts" (n = 32, 1998-2005), "reactive oxygen species" (n = 66, 2006-2013) and "pathology" (n = 69, 2014-2020). China and the USA showed the highest number of citations and publications for cerium oxide research from 1990 to 2020. Longitudinal analysis showed CeONP has been extensively used for various applications due to its catalytic properties. In conclusion, this study showed the trend in research in CeONP over the past three decades with advancements in nanoparticle engineering like doping, and more recently surface modification or functionalization to further enhanced its antioxidant abilities. As a result of recent nanoparticle engineering developments, research into CeONP biological effects have highlighted its therapeutic potential for a range of human pathologies such as Alzheimer's disease. Whilst research over the past three decades show the versatility of cerium oxide in industrial and environmental applications, there are still research opportunities to investigate the potential beneficial effects of CeONP in its application(s) on human health.

Lyotropic Nematic Phases of Isotropic Nanoparticles via Semiflexible Polymer Ligands.

Lyotropic liquid crystalline (LC) nanomaterials are normally achieved through particle shape anisotropy. Herein, it is shown that lyotropic nematic rather than cubic phases are produced from spherical nanoparticles (NPs) with semi-flexible polymer ligands. ZrO2 nanocrystals (4 nm dia.) are coated with a dense shell of poly(hexyl isocyanate) (PHIC), a helical rod-like polymer that forms lyotropic LC phases in a range of organic solvents. Solvent casted NPs with PHIC ligands above the persistence length form linear assemblies, separated by a characteristic distance related to the chain length while NPs with shorter, rigid rod PHIC ligands pack hexagonally. Concentrated NP-PHIC dispersions present nematic textures similar to the free PHIC nematic solutions but at lower critical concentrations, widening the isotropic-nematic biphasic region. 2 H NMR spectra of the NPs dispersed in a deuterated solvent display quadrupolar splittings that increase with NP concentration, showing that the PHIC ligands are magnetically aligned. The high degree of orientation order is evidence that splaying of the ligand shell transforms the spherical NPs to rod-like shapes that assemble to produce nematic lyotropic LC phases and linear NP arrays. This approach to creating anisotropic assemblies can be extended to other types of spherical NPs and semiflexible polymers.

Risk factors for COVID-19 among Californians working outside the home, November 2020 - May 2021.

BACKGROUND: Higher incidences of COVID-19 mortality and outbreaks have been found in certain industries and occupations. Workplace factors, including working in close proximity to others and contact with the public can facilitate SARS-CoV-2 transmission, especially without appropriate protective measures. Limited information is available about workers at highest risk for SARS-CoV-2 infection. METHODS: A phone-based, nonprobability study was conducted between November 2020 and May 2021 among California workers who were tested for SARS-CoV-2. Participants were asked about demographics and workplace factors, including industry, occupation, and implementation of COVID-19 mitigation measures. Using the SARS-CoV-2 occupational exposure matrix, three exposure metrics and a combination index were used to categorize occupations. We assessed the association between workplace risks and SARS-CoV-2 test positivity using adjusted logistic regression. RESULTS: We enrolled 451 (13%) of 3475 potentially eligible workers in the study: 212 with positive and 239 with negative SARS-CoV-2 test results. Those working very close to others and with the highest combined exposure index had a positive association with SARS-CoV-2 positivity. Primarily indoor workers had a lower odds of test positivity compared to those with any outdoor work. There was no association between public-facing occupations and test positivity. Participants with employers who implemented mitigation measures in all three control categories-engineering, administrative, and personal protective equipment-had lower odds of test positivity than those with fewer mitigation measures. CONCLUSIONS: Worker groups with higher risk factors should be prioritized for outreach. Assessment of occupational risk factors collectively can provide insight to inform preventative actions for workers, employers, and public health entities.

Psychosocial Effects of the Loop Open-Source Automated Insulin Delivery System.

AIMS: This study examined the psychosocial impact of Loop, an open-source automated insulin dosing system that has emerged from the diabetes technology "Do-It-Yourself" (DIY) movement. METHODS: Subsamples of 239 adults, 115 children, and 243 parents completed data collection at the time of Loop initiation and 3 and 6 months later. Surveys collected demographic and clinical information, percent time-in-range, HbA1c, and validated psychosocial measures. Analyses included paired t tests and McNemar's tests to compare psychosocial functioning at 3 and 6 months and regression models to assess baseline predictors of psychosocial outcomes at 6 months. RESULTS: Adults reported significant improvements in diabetes distress (t = -7.20 P < .001; t = -8.01, P < .001), sleep quality (t = 6.81, P < .001; t = 2.98, P = .003), fear of hypoglycemia (t = -4.42, P < .001; t = -4.97, P < .001), and hypoglycemia confidence (t = 8.68, P < .001; t = 7.96 P < .001) from baseline to 3 months and 6 months, respectively. Significant improvements in parents' and children's sleep quality and parents' fear of hypoglycemia were also observed. Several baseline characteristics were associated with psychosocial outcomes at 6 months. CONCLUSIONS: The current findings support the broad and sustained benefits of Loop across multiple aspects of psychosocial well-being. Advancement and dissemination of such technologies has the potential to improve mental and physiological health among people living with type 1 diabetes.

COVID-19 Outbreaks and Mortality Among Public Transportation Workers - California, January 2020-May 2022.

Work-related factors can contribute to risk for exposure to and infection with SARS-CoV-2, the virus that causes COVID-19, and subsequent COVID-19-attributable outcomes, including death. Comparing COVID-19 metrics across industries can help identify workers at highest risk. Elevated COVID-19 mortality rates have been reported among all transportation workers, as well as specifically in public transportation industries (1-3). The California Department of Public Health (CDPH) calculated public transportation industry-specific COVID-19 outbreak incidence during January 2020-May 2022 and analyzed all laboratory-confirmed COVID-19 deaths among working-age adults in California to calculate public transportation industry-specific mortality rates during the same period. Overall, 340 confirmed COVID-19 outbreaks, 5,641 outbreak-associated cases, and 537 COVID-19-associated deaths were identified among California public transportation industries. Outbreak incidence was 5.2 times as high (129.1 outbreaks per 1,000 establishments) in the bus and urban transit industry and 3.6 times as high in the air transportation industry (87.7) as in all California industries combined (24.7). Mortality rates were 2.1 times as high (237.4 deaths per 100,000 workers) in transportation support services and 1.8 times as high (211.5) in the bus and urban transit industry as in all industries combined (114.4). Workers in public transportation industries are at higher risk for COVID-19 workplace outbreaks and mortality than the general worker population in California and should be prioritized for COVID-19 prevention strategies, including vaccination and enhanced workplace protection measures.

Workplaces Most Affected by COVID-19 Outbreaks in California, January 2020-August 2021.

Objectives. To describe which industries have the highest burden of COVID-19 outbreaks in California. Methods. We assigned US census industry codes to COVID-19 outbreaks reported to the California Department of Public Health (CDPH) from January 1, 2020, to August 31, 2021, and determined numbers of outbreaks, numbers of outbreak-associated cases, and outbreak incidence levels by industry. We determined characteristics of outbreak-associated cases using individual case data linked to COVID-19 outbreaks. Results. Local health departments reported 19 893 COVID-19 outbreaks and 300 379 outbreak-associated cases to CDPH. The most outbreaks (47.8%) and outbreak-associated cases (54.8%) occurred in the health care and social assistance sector, where outbreak incidence levels were highest in skilled nursing facilities and residential care facilities (1306 and 544 outbreaks per 1000 establishments, respectively). High proportions of outbreaks also occurred in the retail trade (8.6%) and manufacturing (7.9%) sectors. Demographics of outbreak-associated cases varied across industries. Conclusions. Certain California industries, particularly in the health care, manufacturing, and retail sectors, have experienced a high burden of COVID-19 outbreaks during the pandemic. Public Health Implications. Tracking COVID-19 outbreaks by industry may help target prevention efforts, including workforce vaccination. (Am J Public Health. 2022;112(8):1180-1190. https://doi.org/10.2105/AJPH.2022.306862).

Reported Exposures Among In-Person Workers With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in 6 States, September 2020-June 2021.

BACKGROUND: Surveillance systems lack detailed occupational exposure information from workers with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The National Institute for Occupational Safety and Health partnered with 6 states to collect information from adults diagnosed with SARS-CoV-2 infection who worked in person (outside the home) in non-healthcare settings during the 2 weeks prior to illness onset. METHODS: The survey captured demographic, medical, and occupational characteristics and work- and non-work-related risk factors for SARS-CoV-2 infection. Reported close contact with a person known or suspected to have SARS-CoV-2 infection was categorized by setting as exposure at work, exposure outside of work only, or no known exposure/did not know. Frequencies and percentages of exposure types are compared by respondent characteristics and risk factors. RESULTS: Of 1111 respondents, 19.4% reported exposure at work, 23.4% reported exposure outside of work only, and 57.2% reported no known exposure/did not know. Workers in protective service occupations (48.8%) and public administration industries (35.6%) reported exposure at work most often. More than one third (33.7%) of respondents who experienced close contact with ≥10 coworkers per day and 28.8% of respondents who experienced close contact with ≥10 customers/clients per day reported exposures at work. CONCLUSIONS: Exposure to occupational SARS-CoV-2 was common among respondents. Examining differences in exposures among different worker groups can help identify populations with the greatest need for prevention interventions. The benefits of recording employment characteristics as standard demographic information will remain relevant as new and reemerging public health issues occur.

Posttraumatic stress disorder in pediatric patients with implantable cardioverter-defibrillators and their parents.

BACKGROUND: An implantable cardioverter-defibrillator (ICD) in the pediatric patient (and the precipitating events that led to ICD placement) can be traumatic for patients and their families and may lead to posttraumatic stress disorder (PTSD). OBJECTIVES: This study aimed to estimate the prevalence of PTSD in pediatric patients with an ICD and their parents and identify the factors associated with PTSD incidence. METHODS: Pediatric participants with an ICD aged 8-21 years and parents of children aged 0-21 years completed surveys that included demographic characteristics and PTSD measures. Pediatric participants completed additional psychosocial measures, such as anxiety and depression self-report questionnaires. RESULTS: Fifty youth (30% female) and 43 parents (70% female) completed the measures. Six of 50 youth (12%) met the screening criteria for a likely PTSD diagnosis, while 20 of 43 parents (47%) met the cutoff for PTSD on the screening measure. Children with PTSD were more likely to have had a secondary prevention ICD (83% vs 17%; P = .021), meet the clinical cutoff for depression (67% vs 16%; P = .005), and had higher shock anxiety scores (31.7 vs 17.9; P = .003) than children without PTSD. Female gender (57% vs 23%; P = .043) and patient depression (31% vs 5%; P = .042) were associated with PTSD in parents. CONCLUSION: Parents were found to be more likely to meet the criteria for PTSD than youth. In youth, PTSD was associated with medical and psychosocial factors, whereas PTSD in parents was associated with being female and child depression. Clinic-based screenings and management planning of emotional functioning are warranted to address psychological distress in patients and parents.

Pre-implementation Assessment of Tobacco Cessation Interventions in Substance Use Disorder Residential Programs in California.

BACKGROUND: Across the United States, substance use disorder (SUD) treatment programs vary in terms of tobacco-related policies and cessation services offered. Implementation of tobacco-related policies within this setting can face several barriers. Little is known about how program leadership anticipate such barriers at the pre-implementation phase. This study used the Consolidated Framework for Implementation Research (CFIR) during the pre-implementation stage to identify factors that may influence the implementation stage of tobacco-related cessation policies and services in residential SUD programs. METHODS: We conducted semi-structured qualitative interviews with sixteen residential treatment program directors in California. The analysis was guided by a deductive approach using CFIR domains and constructs to develop codes and identify themes. ATLAS.ti software was used to facilitate thematic analysis of interview transcripts. FINDINGS: Themes that arose as anticipated facilitators for implementation included the relative advantage of the intervention vs. current practice, external policies/incentives to support tobacco-related policy, program directors' strong commitment and high self-efficacy to incorporate cessation into SUD treatment, and recognizing the importance of planning and engaging opinion leaders. Potential barriers included the SUD recovery culture, low stakeholder engagement, organizational culture, lack of workforce expertise, and lack of reimbursement for smoking cessation services. CONCLUSION: To support successful implementation of tobacco-related organizational change interventions, staff and clients of residential SUD programs require extensive education about the effectiveness of evidence-based medications and behavioral therapies for treating tobacco dependence. Publicly funded SUD treatment programs should receive support to address tobacco dependence among their clients through expanded reimbursement for tobacco cessation services.

Financial Costs of Emergency Department Presentations for Australian Patients With Heart Disease in the Last 3 Years of Life.

Aims: This study described emergency department (ED) resource use patterns and associated costs among patients with heart disease in their last 3 years of life in a high-income country. Methods: This study used linked data from ED and death registry databases in Australia. A random sample of 1000 patients who died due to any cause in 2017, and who had been living with heart disease for at least the prior 10-years were included. The outcomes of interest were number of ED presentations over each of the last 3 years prior to death and relative cost contributions of ED-related items. Results: The number of patients needing ED care and number of ED presentations per patient increased as patients were closer to death, with 85% experiencing at least one ED presentation in their last year of life. Mean per patient ED presentation cost increased with each year closer to death. Costs related to labor, pathology, patient travel, and goods and services contributed more than 85% of the total cost in each of the 3 years. Conclusion: The increase in cost burden as patients neared death was attributable to more frequent ED presentations per person rather than more expensive ED presentations. The scope of this study was limited to ED presentations, and may not be representative of heart-disease-related end-of-life care more broadly.

Disparities in COVID-19 fatalities among working Californians.

BACKGROUND: Information on U.S. COVID-19 mortality rates by occupation is limited. We aimed to characterize 2020 COVID-19 fatalities among working Californians to inform preventive strategies. METHODS: We identified laboratory-confirmed COVID-19 fatalities with dates of death in 2020 by matching death certificates to the state's COVID-19 case registry. Working status for decedents aged 18-64 years was determined from state employment records, death certificates, and case registry data and classified as "confirmed working," "likely working," or "not working." We calculated age-adjusted overall and occupation-specific COVID-19 mortality rates using 2019 American Community Survey denominators. RESULTS: COVID-19 accounted for 8,050 (9.9%) of 81,468 fatalities among Californians 18-64 years old. Of these decedents, 2,486 (30.9%) were matched to state employment records and classified as "confirmed working." The remainder were classified as "likely working" (n = 4,121 [51.2%]) or "not working" (n = 1,443 [17.9%]) using death certificate and case registry data. Confirmed and likely working COVID-19 decedents were predominantly male (76.3%), Latino (68.7%), and foreign-born (59.6%), with high school or less education (67.9%); 7.8% were Black. The overall age-adjusted COVID-19 mortality rate was 30.0 per 100,000 workers (95% confidence interval [CI], 29.3-30.8). Workers in nine occupational groups had age-adjusted mortality rates higher than this overall rate, including those in farming (78.0; 95% CI, 68.7-88.2); material moving (77.8; 95% CI, 70.2-85.9); construction (62.4; 95% CI, 57.7-67.4); production (60.2; 95% CI, 55.7-65.0); and transportation (57.2; 95% CI, 52.2-62.5) occupations. While occupational differences in mortality were evident across demographic groups, mortality rates were three-fold higher for male compared with female workers and three- to seven-fold higher for Latino and Black workers compared with Asian and White workers. CONCLUSION: Californians in manual labor and in-person service occupations experienced disproportionate COVID-19 mortality, with the highest rates observed among male, Latino, and Black workers; these occupational group should be prioritized for prevention.

Qualitative Study of User Experiences with Loop, an Open-Source Automated Insulin Delivery System.

Background: Loop is an open-source automated insulin delivery (AID) system, used by more than 9,000 people with type 1 diabetes. Understanding the pros and cons of Loop use may help improve disease management and support population level innovation. Methods: Focus groups revealed 72 new and existing users' perspectives on Loop uptake, use, and persistence. A subsample of participants from a mixed-methods, observational cohort study shared first-hand accounts of their experiences using Loop. Participants were predominately white (95%), male (50%), privately insured (94%), and reported annual household income ≥$100K (73%) and education exceeding a bachelor's degree (87%) with a mean HbA1c of 6.6% ± 0.8%. Data were analyzed and synthesized by a multidisciplinary team. Results: Participants detailed their experiences with (1) Loop technical support and troubleshooting, (2) decreased mental/behavioral burden, (3) technical issues with parts of the system, (4) glycemic control, (5) personalizing settings, and (6) providers while using Loop. Decreased burden was the most endorsed benefit defined by less worry, stress, and cognitive effort and less time spent on diabetes management tasks. Participants highlighted the benefits of Loop overnight and their introduction to "Loop communities" during use. The most discussed challenges involved technical issues. A range of provider attitudes and knowledge about Loop complicated users' clinical experiences and disclosure. Conclusions: This sample of new and experienced Loop users reported benefits to quality of life and glycemic control that outweighed challenges of setting up system components, customizing the system to suit one's lifestyle and habits, and adjusting system settings. Challenges related to system setup and calibrating settings are remediable and, if addressed, may better serve Loop users. Users reported feeling empowered by the customizability of and the educational effects facilitated by the open-source AID system. Loop helped users learn more about their chronic illness and physiology in an acceptable format. Clinical Trial Registration number: NCT03838900.